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How to Detect AI-Generated Content

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There are essentially two main methods of AI generation: Generative Adversarial Networks (GANs): GANs use a generator (learn to produce examples) and discriminator (distinguish between classes) architecture to create realistic images, music, and other things. A few examples of GANs are CycleGAN, StyleGAN2, and GauGAN.

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How to Identify AI-Generated Content

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Large Language Models (LLMs): These models are the breakthrough in the space of natural language processing (NLP), empowering machines to understand and generate human-like language. Sometimes AI-generated voices can sound overly melodic lacking the variations and nuances found in speech.

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This AI newsletter is all you need #59

Towards AI

NASA and IBM Openly Release Geospatial AI Foundation Model for NASA Earth Observation Data NASA and IBM Research have collaborated to release the HLS Geospatial FM, an open-source geospatial AI model for Earth observation data. To facilitate adoption, Microsoft has also developed a Solution Accelerator guide.